100+ datasets found
  1. D

    NSW Topographic Map

    • data.nsw.gov.au
    • researchdata.edu.au
    arcgis rest service +1
    Updated Jun 29, 2025
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    Spatial Services (DCS) (2025). NSW Topographic Map [Dataset]. https://data.nsw.gov.au/data/dataset/1-1ed53d76a3424aefa9b8584592148d4e
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    arcgis rest service, wmsAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset provided by
    Spatial Services (DCS)
    Area covered
    New South Wales
    Description
    Export DataAccess API
    Content TitleNSW Topographic Mapo
    Content TypeWeb Map
    Description
    Map Cache Web Service provides rasterised topographic maps in a seamless mosaic view covering NSW. This service generally contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series.

    Where coverage exists at multiple scales, the largest scale map is displayed.

    The sourced Geotiff file is cropped to the map window only, with no legend, disclaimers, map grid, scale bar or north arrow displayed. The NSW Topographic Map series is derived from Spatial Services’ Digital Topographic Database (DTDB).

    Information viewed in this web service includes:
    • Roads
    • Points of interest
    • Localities
    • Contours
    • Drainage
    • Cultural data
    • Parks and forests
    • Property boundaries.

    This web service allows users to easily integrate the topographic map cache coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.

    The NSW Topographic Map Cache web service can be used for mapping, emergency services, natural resource management, geosciences and sustainable development.

    This service ensures users are able to consume topographic map data without the requirement of hosting the map files on their own servers. It is important to note that depictions of roads and tracks do not necessarily indicate a public right of way.

    Unlawful entry upon private land or a restricted area and/or wilful damage of property such as gates and fences expose offenders to legal prosecution.
    Initial Publication Date31/07/2019
    Data Currency01/01/3000
    Data Update FrequencyOther
    Content SourceData provider files
    File TypeESRI File Geodatabase (*.gdb)
    Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au
    Data Theme, Classification or Relationship to other DatasetsFeatures of Interest, Water, Transport, Physiography, Land and Parcel, Administrative Boundaries, Land Cover, Place Names and Elevation and Depth themes of the Foundation Spatial

  2. d

    6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_BATHY6M) [Dataset]. https://catalog.data.gov/dataset/6-m-resolution-grid-of-multibeam-bathymetry-in-western-massachusetts-bay-map-quadrangle-3-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Western Massachusetts, Massachusetts
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

  3. a

    Phase 6 Map Viewer

    • hamhanding-dcdev.opendata.arcgis.com
    • data.chesapeakebay.net
    • +1more
    Updated Apr 14, 2020
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    Chesapeake Geoplatform (2020). Phase 6 Map Viewer [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/documents/f4a3eeeee4a64d089c2a91239d871f50
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    Dataset updated
    Apr 14, 2020
    Dataset authored and provided by
    Chesapeake Geoplatform
    Description

    Open the Data Resource: https://gis.chesapeakebay.net/mpa/scenarioviewer/ This viewer provides basic mapping functionality for a subset of Public Reports for Load Scenarios available from the CAST Tool. It also contains map layers for several commonly requested data layers associated with the Chesapeake Bay suite of models.

  4. d

    U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2.

    • datadiscoverystudio.org
    • data.globalchange.gov
    • +3more
    Updated May 21, 2018
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    (2018). U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5943529b1b9043a397058fffe2a2440a/html
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    Dataset updated
    May 21, 2018
    Description

    description: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer; abstract: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

  5. d

    USGS Imagery Only Base Map Service from The National Map.

    • datadiscoverystudio.org
    • cloud.csiss.gmu.edu
    • +1more
    xml
    Updated Feb 8, 2018
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    (2018). USGS Imagery Only Base Map Service from The National Map. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c02a45986160400ca5bc3a71cb554a7f/html
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    xmlAvailable download formats
    Dataset updated
    Feb 8, 2018
    Description

    description: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.; abstract: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.

  6. a

    Draft Context Map for Planning 6-5-2024

    • maine.hub.arcgis.com
    Updated Jun 4, 2024
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    State of Maine (2024). Draft Context Map for Planning 6-5-2024 [Dataset]. https://maine.hub.arcgis.com/maps/6427753ffe304ad89aa03554b7c9c1c7
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    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    I am pleased to share the updated context map DRAFT for your review and comments.Of course, review to note any obvious omissions or anomalies in the map. Also, please share your general thoughts on the look and feel of the map. The way we have it right now with the basemap labeled “Light Gray Canvas”, the building footprints show up as you zoom in. I find that very helpful to visually confirm the context.There are actually have many different criteria that can lead to classification. This detail was necessary to refine the map. You can check on and off the different criteria on the left to see how it impacts the map if you would like.There are many different considerations, but mostly context is defined by the development of buildings - how close the buildings are to the road, how densely they have been built together, and how large the building area is. Urban and Rural Village contexts tend to have more buildings close to the road and suburban contexts tend to have buildings further back. Here is the primary data considered: Immediate Building Density Immediate Building Area Density Immediate Building Count Wide Building Density Wide Building Area Density Wide Intersection Density Wide Segment Density Federal and State Urban Compact AreasThe “immediate” building information considers buildings that partially within 60 feet of the road centerline. For a sports analogy, that is about the distance from a baseball pitching rubber to home plate. The “wide” data looks at buildings, segments, and intersections in the general area 1/8 of a mile from centerline in all directions. That is about the distance of two football fields. Both types of data have value, especially when they are strategically used together.The Map is split into 5 contexts categories: Red - Urban Orange - Suburban Dark Green - Rural Village (Heavily Developed) Light Green - Rural Village (Moderately Developed) Blank – RuralThe red urban and the dark green village areas have exactly the same criteria except one is inside federal or state urban compact and one is outside both urban compacts. You will also notice some of the major arterial roads cutting through urban areas have been identified as suburban. Examples of this include William Clark Drive in Westbrook, Center Street and Minot Avenue in Auburn, and Pleasant Street in Brunswick. This typically occurs because the buildings are mostly built back further from the road.Important to note: We will need two “rural village” layers. We realized we need to separate how we treat the very densely developed villages like downtown Camden and the fringe villages like Searsmont and Jefferson.

    Thank you for giving this map a look over and providing your feedback.

  7. d

    Data from: Reconnaissance geologic map of the Solomon D-6 Quadrangle, Seward...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 5, 2023
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    Alaska Division of Geological & Geophysical Surveys (Point of Contact) (2023). Reconnaissance geologic map of the Solomon D-6 Quadrangle, Seward Peninsula, Alaska [Dataset]. https://catalog.data.gov/dataset/reconnaissance-geologic-map-of-the-solomon-d-6-quadrangle-seward-peninsula-alaska1
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Alaska Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Seward Peninsula, Alaska
    Description

    Reconnaissance geologic map of the Solomon D-6 Quadrangle, Seward Peninsula, Alaska, Open-File Report 72-325, provides 1:63,360 geologic mapping of parts of the Solomon D-6 Quadrangle, Seward Peninsula, Alaska. This map was published by the USGS and has been scanned, digitized, and attributed by DGGS staff. The dataset contains geologic, structural, stratigraphic, and geochronologic data organized according to the GeMS and AK GeMS mapping schemas. The geodatabase and ESRI fonts and style files are available from the DGGS website: https://dggs.alaska.gov/pubs/id/10963.

  8. a

    Montana FWP Fishing Access Sites Region 6 - Poster

    • gis-mtfwp.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 12, 2022
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    MtFishWildlifeParks (2022). Montana FWP Fishing Access Sites Region 6 - Poster [Dataset]. https://gis-mtfwp.hub.arcgis.com/documents/91d299b3af1d422aa056e47d4727eeba
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    Dataset updated
    Aug 12, 2022
    Dataset authored and provided by
    MtFishWildlifeParks
    Description

    Montana FWP fishing access sites region 6 printable map 36x18 for Montana FWP Printable Map Catalog. Maps will be regularly updated as data updates occur.

  9. d

    Data from: Fossil locality map of the Healy A-6 Quadrangle, south-central...

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Jul 5, 2023
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    State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys (Point of Contact) (2023). Fossil locality map of the Healy A-6 Quadrangle, south-central Alaska [Dataset]. https://catalog.data.gov/dataset/fossil-locality-map-of-the-healy-a-6-quadrangle-south-central-alaska1
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Southcentral Alaska, Alaska
    Description

    This report presents in tabular form a complete listing of faunal and minor floral elements, along with their identification as known to date, for all fossils collected by field party members of the Alaska Division of Geological & Geophysical Surveys (DGGS) during their 1997 and 1998 geological mapping effort in the Healy A-6 Quadrangle. In addition, all known U.S. Geological Survey fossil localities that could be located from previously published maps are also shown on the fossil locality map and listed in the fossil register.

  10. a

    Montana Warden Districts Region 6 - Letter

    • hub.arcgis.com
    • gis-mtfwp.hub.arcgis.com
    Updated Jul 26, 2022
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    MtFishWildlifeParks (2022). Montana Warden Districts Region 6 - Letter [Dataset]. https://hub.arcgis.com/documents/d8d6572182cc46a7afa0f19e4536d5e5
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    Dataset updated
    Jul 26, 2022
    Dataset authored and provided by
    MtFishWildlifeParks
    Description

    Montana warden districts region 6 printable map 8.5x11 for Montana FWP Printable Map Catalog. Maps will be regularly updated as data updates occur.

  11. Comparison of Scales

    • datasets.ai
    • gimi9.com
    • +3more
    22, 33
    Updated Aug 6, 2024
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    Natural Resources Canada | Ressources naturelles Canada (2024). Comparison of Scales [Dataset]. https://datasets.ai/datasets/2c775dd3-afcc-58c5-8e4d-ae78732f4c27
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    22, 33Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    Authors
    Natural Resources Canada | Ressources naturelles Canada
    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows six maps of cities or towns at different scales. The portions of all, but the first and last of the maps, illustrate the principal national map series produced by the Surveys and Mapping Branch of the Department of Mines and Technical Surveys [now Natural Resources Canada], circa 1958.

  12. d

    Six Mile Creek 1:50 000 topographic map

    • datadiscoverystudio.org
    unknown v.unknown
    Updated Jan 1, 1997
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    DEFENCE (1997). Six Mile Creek 1:50 000 topographic map [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/276a3bf4b9f848aa80aab1613939c7f5/html
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    unknown v.unknownAvailable download formats
    Dataset updated
    Jan 1, 1997
    Authors
    DEFENCE
    Area covered
    Description

    Product Specifications Coverage: Partial coverage, predominantly in northern Australia, along major transport routes, and other selected areas. About 1000 maps have been published to date. Currency: Ranges from 1968 to 2006. Coordinates: Geographical and UTM. Datum: AGD66, new edition WGS84; AHD. Projection: Universal Transverse Mercator UTM. Medium: Paper, flat copies only.

  13. d

    Environmental Modeling, Six suitable maps (natural values, working forests,...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Aug 19, 2017
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    (2017). Environmental Modeling, Six suitable maps (natural values, working forests, farmland, residential, commercial, industrial) for an eleven county region., Published in Not Provided, North Carolina Department of Commerce.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/142397bd240c470b94d96e50a81557be/html
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    Dataset updated
    Aug 19, 2017
    Description

    description: Environmental Modeling dataset current as of unknown. Six suitable maps (natural values, working forests, farmland, residential, commercial, industrial) for an eleven county region..; abstract: Environmental Modeling dataset current as of unknown. Six suitable maps (natural values, working forests, farmland, residential, commercial, industrial) for an eleven county region..

  14. g

    Angola 1:1,000,000 Scale Geological Map (6 Sheets)

    • shop.geospatial.com
    Updated Feb 6, 2015
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    (2015). Angola 1:1,000,000 Scale Geological Map (6 Sheets) [Dataset]. https://shop.geospatial.com/publication/87AQM5GFV2CFM0TKRF4YH19477/Angola-1-to-1000000-Scale-Geological-Map-6-Sheets
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    Dataset updated
    Feb 6, 2015
    Area covered
    Angola
    Description

    Spatial coverage index compiled by East View Geospatial of set "Angola 1:1,000,000 Scale Geological Map (6 Sheets)". Source data from INGA (publisher). Type: Geoscientific - Geology. Scale: 1:1,000,000. Region: Africa.

  15. e

    State map 1:5 000 new form raster data - Jevíčko 6-2

    • data.europa.eu
    Updated Dec 17, 2012
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    (2012). State map 1:5 000 new form raster data - Jevíčko 6-2 [Dataset]. https://data.europa.eu/data/datasets/cz-cuzk-sm5-rb-jevi62?locale=en
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    Dataset updated
    Dec 17, 2012
    Description

    The product represents a new design of the State Map at a scale of 1:5,000 in raster form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map, altimetry adopted from the altimetry part of ZABAGED and map lettering based on database of geographic names Geonames and abbreviations of feature type signification coming up from attributes of selected ZABAGED features. The cartographic visualisation is solved automatically without manual works of a cartographer. This new design of the SM 5 is repeatedly generated once a year on the part of the Czech territory where the vector form of cadastral map is available. Therefore, part of export units (map sheets of SM 5) has not a full coverage (price of such export unit is then proportionally reduced).

  16. d

    6-m resolution gray-scale image of multibeam backscatter intensity in...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Oct 18, 2024
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    U.S. Geological Survey (2024). 6-m resolution gray-scale image of multibeam backscatter intensity in western Massachusetts Bay map Quadrangle 1 (Q1_BACKGS.TIF) [Dataset]. https://catalog.data.gov/dataset/6-m-resolution-gray-scale-image-of-multibeam-backscatter-intensity-in-western-massachusett-ae45f
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Western Massachusetts, Massachusetts
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

  17. O

    GSQ PUBLICATION 241, QUEENSLAND MINERAL INDEX AND GUIDE (WITH NUMEROUS...

    • data.qld.gov.au
    Updated May 9, 2023
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    Geological Survey of Queensland (2023). GSQ PUBLICATION 241, QUEENSLAND MINERAL INDEX AND GUIDE (WITH NUMEROUS DIAGRAMS AND TABLES, AND AN ATLAS OF THIRTY SIX MAPS) [Dataset]. https://www.data.qld.gov.au/dataset/cr055397
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    Dataset updated
    May 9, 2023
    Dataset authored and provided by
    Geological Survey of Queensland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Queensland
    Description

    URL: https://geoscience.data.qld.gov.au/dataset/cr055397

    GSQ PUBLICATION 241, QUEENSLAND MINERAL INDEX AND GUIDE (WITH NUMEROUS DIAGRAMS AND TABLES, AND AN ATLAS OF THIRTY SIX MAPS)

  18. d

    Judicial Subdistrict 6 Precinct Map Book

    • catalog.data.gov
    • data-lakecountyil.opendata.arcgis.com
    Updated Jan 20, 2023
    + more versions
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    Lake County Illinois GIS (2023). Judicial Subdistrict 6 Precinct Map Book [Dataset]. https://catalog.data.gov/dataset/judicial-subdistrict-6-precinct-map-book-2022-06f03
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    Dataset updated
    Jan 20, 2023
    Dataset provided by
    Lake County Illinois GIS
    Description

    Judicial Subdistrict 6 Precinct Map Book - 2022

  19. g

    Topographic map 1 : 25 000 - Issue State (1981-1989) M-33-6-A-d Kerkwitz |...

    • gimi9.com
    + more versions
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    Topographic map 1 : 25 000 - Issue State (1981-1989) M-33-6-A-d Kerkwitz | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_a5546830-fc75-4cac-bc6c-19232014b424
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    Area covered
    Kerkwitz
    Description

    The topographic maps referred to as the Issue State (AS) were primarily intended for military use and were classified as Confidential Classified. On a scale of 1: 25,000 there were 2 output variants: TK=topographic maps and TSP=topographic city maps.

  20. O

    Queensland Mapsheet 2, 4, 6, 12 And 16 Mile Map Index 80 Miles To An Inch...

    • data.qld.gov.au
    Updated May 8, 2023
    + more versions
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    Geological Survey of Queensland (2023). Queensland Mapsheet 2, 4, 6, 12 And 16 Mile Map Index 80 Miles To An Inch Index Map Provisional 1969 [Dataset]. https://www.data.qld.gov.au/dataset/mr009481
    Explore at:
    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    Geological Survey of Queensland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Queensland
    Description

    URL: https://geoscience.data.qld.gov.au/dataset/mr009481

    The QUEENSLAND MAPSHEET 2, 4, 6, 12 AND 16 MILE MAP INDEX Index map was published in 1969 at 80 miles to an Inch as part of the STATE MAP series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart.
    The map product is available to all government agencies, industry and the public for reference.
    Title and Image reference number is QUEENSLAND MAPSHEET 2, 4, 6, 12 AND 16 MILE MAP INDEX_7453.

    2 Mile, 4 Mile (old series), 4 mile (new series), 12 Mile Tenure sheets, 16 mile, 16 Mile Stock routes, 4 Mile & 6 Mile Moreton District maps

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Spatial Services (DCS) (2025). NSW Topographic Map [Dataset]. https://data.nsw.gov.au/data/dataset/1-1ed53d76a3424aefa9b8584592148d4e

NSW Topographic Map

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
arcgis rest service, wmsAvailable download formats
Dataset updated
Jun 29, 2025
Dataset provided by
Spatial Services (DCS)
Area covered
New South Wales
Description
Export DataAccess API
Content TitleNSW Topographic Mapo
Content TypeWeb Map
Description
Map Cache Web Service provides rasterised topographic maps in a seamless mosaic view covering NSW. This service generally contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series.

Where coverage exists at multiple scales, the largest scale map is displayed.

The sourced Geotiff file is cropped to the map window only, with no legend, disclaimers, map grid, scale bar or north arrow displayed. The NSW Topographic Map series is derived from Spatial Services’ Digital Topographic Database (DTDB).

Information viewed in this web service includes:
• Roads
• Points of interest
• Localities
• Contours
• Drainage
• Cultural data
• Parks and forests
• Property boundaries.

This web service allows users to easily integrate the topographic map cache coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.

The NSW Topographic Map Cache web service can be used for mapping, emergency services, natural resource management, geosciences and sustainable development.

This service ensures users are able to consume topographic map data without the requirement of hosting the map files on their own servers. It is important to note that depictions of roads and tracks do not necessarily indicate a public right of way.

Unlawful entry upon private land or a restricted area and/or wilful damage of property such as gates and fences expose offenders to legal prosecution.
Initial Publication Date31/07/2019
Data Currency01/01/3000
Data Update FrequencyOther
Content SourceData provider files
File TypeESRI File Geodatabase (*.gdb)
Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au
Data Theme, Classification or Relationship to other DatasetsFeatures of Interest, Water, Transport, Physiography, Land and Parcel, Administrative Boundaries, Land Cover, Place Names and Elevation and Depth themes of the Foundation Spatial

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